---
res:
  bibo_abstract:
  - Data Spaces are establishing themselves as a decentralized alternative for sovereign
    data sharing across organizations. However, their adoption faces significant challenges,
    particularly the lack of proven business models that encourage participation and
    value creation. A data space business model captures value differently than either
    traditional business models or platform business models. This paper addresses
    this challenge by developing the Data Space Canvas, a structured framework for
    designing and aligning business models in data spaces consisting of nine building
    blocks. The canvas was developed following the design science research methodology.
    The modular and role-specific structure of the Data Space Canvas facilitates shared
    understanding and supports business model development across participants. This
    research contributes a practical tool that enables organizations to conceptualize,
    communicate, and refine their role and business model in data spaces.@eng
  bibo_authorlist:
  - foaf_Person:
      foaf_givenName: Julian
      foaf_name: Zerbin, Julian
      foaf_surname: Zerbin
      foaf_workInfoHomepage: http://www.librecat.org/personId=51711
    orcid: 0009-0001-1003-7558
  - foaf_Person:
      foaf_givenName: Christian
      foaf_name: Koldewey, Christian
      foaf_surname: Koldewey
      foaf_workInfoHomepage: http://www.librecat.org/personId=43136
    orcid: https://orcid.org/0000-0001-7992-6399
  - foaf_Person:
      foaf_givenName: Roman
      foaf_name: Dumitrescu, Roman
      foaf_surname: Dumitrescu
      foaf_workInfoHomepage: http://www.librecat.org/personId=16190
  dct_date: 2026^xs_gYear
  dct_language: eng
  dct_subject:
  - data ecosystems
  - business model
  - design science
  - resource orchestration theory
  - data sharing
  dct_title: 'The Data Space Canvas: A Framework For Structuring Business Models In
    Data Spaces@'
...